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- Tasks: Design and optimise data infrastructure for cutting-edge AI solutions.
- Company: Global consultancy with a focus on innovation and collaboration.
- Benefits: 26 days annual leave, performance bonuses, and £2,500 for training.
- Why this job: Transform raw data into actionable insights and tackle complex challenges.
- Qualifications: Expertise in data engineering and familiarity with AI tools.
- Other info: Dynamic environment with opportunities for career growth and development.
The predicted salary is between 36000 - 60000 £ per year.
Employment Type: Private healthcare and wellness initiatives
26 days annual leave plus bank holidays
Annual performance-based bonus
£2,500 annual budget for certifications and advanced training
About the Role
Our global consultancy client is looking for an experienced AI Data Expert to design and optimise data infrastructure for cutting‑edge AI solutions. In this role, you will collaborate across teams, leveraging your expertise to transform raw data into actionable insights and ensure seamless integration of AI models. If you excel at solving complex data challenges and thrive in dynamic environments, this role is perfect for you.
Key Responsibilities
- Design and implement scalable, reliable data pipelines to support large-scale AI‑driven applications.
- Prepare and clean diverse datasets for machine learning tasks, including text, numerical data, and unstructured formats.
- Fine‑tune data storage and processing systems for maximum performance and efficiency.
- Collaborate with AI engineers to integrate and maintain machine learning models in production environments.
- Identify and resolve bottlenecks or performance issues in data processing pipelines.
- Work closely with cross‑functional teams to align data strategies with business goals and technical requirements.
What We’re Looking For
- Proven expertise in data engineering, with hands‑on knowledge of tools such as Pandas, NumPy, and PyTorch.
- Familiarity with deploying machine learning models and optimising data workflows for AI applications.
- Experience with cloud platforms like Azure AI, AWS, or Google Cloud.
- Strong analytical skills and a track record of troubleshooting data challenges in production systems.
- Ability to articulate complex technical concepts to both technical and non-technical stakeholders.
- Bonus: Hands‑on experience with Microsoft Copilot Studio and Power Platform tools.
AI Data Expert in City of London employer: Eliden
Contact Detail:
Eliden Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Expert in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and achievements in data engineering. This is your chance to demonstrate how you can transform raw data into actionable insights.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical folks.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace AI Data Expert in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Data Expert role. Highlight your experience with data engineering tools like Pandas and PyTorch, and don’t forget to mention any cloud platforms you’ve worked with. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and data. Share specific examples of how you’ve tackled complex data challenges in the past. This helps us get a sense of your problem-solving skills and enthusiasm for the role.
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s a personal project or something from a previous job, showcasing your hands-on experience can really set you apart. We love seeing practical applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy – just follow the prompts and you’ll be all set!
How to prepare for a job interview at Eliden
✨Know Your Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Pandas, NumPy, and PyTorch. Brush up on your knowledge of cloud platforms such as Azure AI, AWS, or Google Cloud, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Think about how you identified bottlenecks in data processing pipelines and what strategies you employed to resolve them. This will demonstrate your analytical skills and hands-on experience.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to articulate your ideas to both technical and non-technical stakeholders, so being able to break down your thought process is key. Consider doing mock interviews with friends to refine this skill.
✨Align with Business Goals
Research the company’s mission and values, and think about how your data strategies can align with their business goals. Be ready to discuss how your work can contribute to their healthcare and wellness initiatives, showing that you understand the bigger picture.
